{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Open Webcam and take photo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 設定從哪顆鏡頭讀取影像，在括弧中填入先前查詢到的webcam編號\n",
    "webcam = cv2.VideoCapture(0)\n",
    "# 讀取影像\n",
    "return_value, image = webcam.read()\n",
    "# 儲存名為Picture.png的照片\n",
    "cv2.imwrite(\"Picture.png\", image)\n",
    "# 刪除webcam，避免影像佔用資源\n",
    "del(webcam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#開啟視窗顯示影像\n",
    "#cv2.imshow('Picture.png', image)\n",
    "# 不刷新影像\n",
    "#cv2.waitKey(0)\n",
    "# 釋放資源\n",
    "#cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read, edit, show photo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 讀取影像\n",
    "img = cv2.imread('Picture.png')\n",
    "# 將影像轉換為灰階\n",
    "img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 存檔\n",
    "cv2.imwrite('img_gray.jpg',img_gray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 開啟視窗顯示影像\n",
    "#cv2.imshow('img_gray',img_gray)\n",
    "# 不刷新影像\n",
    "#cv2.waitKey(0)\n",
    "# 釋放資源\n",
    "#cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 讀取圖片\n",
    "img = cv2.imread('Picture.png')\n",
    "\n",
    "# OpenCV的顏色預設是BGR格式，這邊將其轉換為HSV格式\n",
    "hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)\n",
    "\n",
    "# 以HSV格式決定要提取的顏色範圍，White\n",
    "lower = np.array([0,0,221])\n",
    "upper = np.array([180,255,255])\n",
    "\n",
    "# 將HSV影像的閾值設定為想要提取的顏色\n",
    "mask = cv2.inRange(hsv, lower, upper)\n",
    "\n",
    "# 使用bitwise_and()合併掩膜(mask)和原來的影像\n",
    "img_specific = cv2.bitwise_and(img,img, mask= mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 存檔\n",
    "cv2.imwrite('img_specific.jpg', img_specific)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 展示原圖、掩膜、抽取顏色後的影像\n",
    "#cv2.imshow('img',img)\n",
    "#cv2.imshow('mask',mask)\n",
    "#cv2.imshow(' img_specific ', img_specific)\n",
    "#cv2.waitKey(0)\n",
    "#cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Image overlay and color drawing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 讀取影像\n",
    "img_gray = cv2.imread('img_gray.jpg')\n",
    "img_specific = cv2.imread('img_specific.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 將提取顏色的影像轉換為灰階\n",
    "img_specific_gray = cv2.cvtColor(img_specific,cv2.COLOR_BGR2GRAY)  \n",
    "\n",
    "# 下方數字50為閾值，可修改閾值範圍(0~255)來調整掩膜區域，並轉換為二元影像\n",
    "ret, mask = cv2.threshold(img_specific_gray,50, 255, cv2.THRESH_BINARY)\n",
    "\n",
    "# 將掩膜反相\n",
    "mask_inv = cv2.bitwise_not(mask)\n",
    "\n",
    "# 使用bitwise_and()和掩膜從灰階圖中排除已被提取顏色的區域\n",
    "img_gray_bg = cv2.bitwise_and(img_gray,img_gray,mask = mask_inv)\n",
    "\n",
    "\n",
    "# 使用bitwise_and()和掩膜設定提取顏色的區域\n",
    "img_specific_fg = cv2.bitwise_and(img_specific,img_specific,mask = mask)\n",
    "\n",
    "# 使用add()將兩張圖片疊加\n",
    "img_result = cv2.add(img_gray_bg,img_specific_fg)\n",
    "\n",
    "# 存檔並展示\n",
    "cv2.imwrite(' img_result.jpg', img_result)\n",
    "cv2.imshow(' img_result ', img_result)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Road Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#img_result = cv2.imread(' img_result.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'noised' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-17-01ef42532ffc>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"img\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnoised\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      6\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwaitKey\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdestroyAllWindows\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'noised' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread(' img_result.jpg').astype(np.float32) / 255\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "plt.imshow(img)\n",
    "\n",
    "cv2.imshow(\"img\", noised)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noised = (img + 0.2 * np.random.rand(*img.shape).astype(np.float32))\n",
    "noised = noised.clip(0, 1)\n",
    "plt.imshow(noised[:,:,[0,1,2]])\n",
    "plt.show()\n",
    "\n",
    "cv2.imshow(\"noised\", noised)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#gauss_blur = cv2.GaussianBlur(noised, (7, 7), 0)\n",
    "\n",
    "gauss_blur = cv2.GaussianBlur(noised, (7, 7), 0)\n",
    "plt.imshow(gauss_blur[:, :, [0, 1, 2]])\n",
    "plt.show()\n",
    "cv2.imshow(\"gauss_blur\", gauss_blur)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.max(gauss_blur*255)\n",
    "gauss_blur = gauss_blur*255\n",
    "gauss_blur = gauss_blur.astype(np.uint8)\n",
    "# np.max(gauss_blur.astype(np.uint8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gray = cv2.cvtColor(gauss_blur,cv2.COLOR_BGR2GRAY)  \n",
    "edges = cv2.Canny(gray, 50, 200)\n",
    "lines = cv2.HoughLinesP(edges, 1.0, np.pi/180, 100, minLineLength=1, maxLineGap=250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.imshow(\"Result Image\", edges)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Draw lines on the image\n",
    "for line in lines:\n",
    "    x1, y1, x2, y2 = line[0]\n",
    "    cv2.line(img, (x1, y1), (x2, y2), (255, 0, 0), 3)\n",
    "# Show result\n",
    "cv2.imshow(\"Result Image\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Show result\n",
    "cv2.imshow(\"Result Image\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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